Snow cover dynamics impact a whole range of systems in mountain regions, from society to economy to ecology; and they also affect downstream regions. Monitoring and analyzing snow cover dynamics has been facilitated with remote sensing products. Here, we present two high-resolution daily snow cover data sets for the entire European Alps covering the years 2002 to 2019, and with automatic updates. The first is based on moderate resolution imaging spectroradiometer (MODIS) and its implementation is specifically tailored to the complex terrain, exploiting the highest possible resolution available of 250 m. The second is a nearly cloud-free product derived from the first using temporal and spatial filters, which reduce average cloud cover from 41.9% to less than 0.1%. Validation has been performed using an extensive network of 312 ground stations, and for the cloud filtering also with cross-validation. Average overall accuracies were 93% for the initial and 91.5% for the cloud-filtered product using the ground stations; and 95.3% for the cross-validation of the cloud-filter. The data can be accessed online and via the R and python programming languages. Possible applications of the data include but are not limited to hydrology, cryosphere and climate. Dataset: http://doi.org/10.5281/zenodo.3566703 Dataset License: CC-BY-4.0

Daily MODIS snow cover maps for the European Alps from 2002 onwards at 250 m horizontal resolution along with a nearly cloud-free version / Matiu, Michael; Jacob, Alexander; Notarnicola, Claudia. - In: DATA. - ISSN 2306-5729. - 5:1(2020). [10.3390/data5010001]

Daily MODIS snow cover maps for the European Alps from 2002 onwards at 250 m horizontal resolution along with a nearly cloud-free version

Matiu, Michael;
2020-01-01

Abstract

Snow cover dynamics impact a whole range of systems in mountain regions, from society to economy to ecology; and they also affect downstream regions. Monitoring and analyzing snow cover dynamics has been facilitated with remote sensing products. Here, we present two high-resolution daily snow cover data sets for the entire European Alps covering the years 2002 to 2019, and with automatic updates. The first is based on moderate resolution imaging spectroradiometer (MODIS) and its implementation is specifically tailored to the complex terrain, exploiting the highest possible resolution available of 250 m. The second is a nearly cloud-free product derived from the first using temporal and spatial filters, which reduce average cloud cover from 41.9% to less than 0.1%. Validation has been performed using an extensive network of 312 ground stations, and for the cloud filtering also with cross-validation. Average overall accuracies were 93% for the initial and 91.5% for the cloud-filtered product using the ground stations; and 95.3% for the cross-validation of the cloud-filter. The data can be accessed online and via the R and python programming languages. Possible applications of the data include but are not limited to hydrology, cryosphere and climate. Dataset: http://doi.org/10.5281/zenodo.3566703 Dataset License: CC-BY-4.0
2020
1
Matiu, Michael; Jacob, Alexander; Notarnicola, Claudia
Daily MODIS snow cover maps for the European Alps from 2002 onwards at 250 m horizontal resolution along with a nearly cloud-free version / Matiu, Michael; Jacob, Alexander; Notarnicola, Claudia. - In: DATA. - ISSN 2306-5729. - 5:1(2020). [10.3390/data5010001]
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/436422
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 13
  • ???jsp.display-item.citation.isi??? 14
  • OpenAlex ND
social impact